Underwater vehicle manipulator system (UVMS) mathematical modeling and force optimization

This study presents a unified dynamic modeling, control, and optimization framework for underwater vehicle-manipulator systems (UVMSs) that explicitly captures vehicle-manipulator coupling and realistic hydrodynamic effects. A recursive Newton–Euler formulation combined with Denavit–Hartenberg (DH) kinematics is developed to model the coordinated motion of a fully actuated underwater vehicle equipped with a manipulator, using CFD-derived hydrodynamic coefficients to improve model fidelity. Strongly coupled inverse kinematics are solved using an adaptive task-priority damped-least-squares Newton–Raphson algorithm for singularity-robust redundancy resolution through null-space projection. Trajectory tracking is evaluated using nonlinear backstepping and finite-time sliding mode control (FTSMC), with FTSMC providing superior robustness and disturbance rejection under hydrodynamic disturbances and ocean currents. At the propulsion level, constrained thrust allocation is formulated as a quadratic programming problem and solved using the alternating direction method of multipliers (ADMM), with performance benchmarked against interior-point and active-set methods, demonstrating comparable computational performance and scalability for embedded implementation. The proposed framework reduces RMS end-effector tracking error by 8.3% and maximum tracking error by 6.4% relative to nonlinear backstepping while maintaining comparable control effort, demonstrating its suitability for realistic UVMS operations.

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Publication Details

Journal
Ocean Engineering
Published
2026-10-14
DOI
https://doi.org/10.1016/j.oceaneng.2026.128453
Primary Topic
Underwater Vehicles and Communication Systems
Type
article
Field-Weighted Citation Impact
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article

Underwater vehicle manipulator system (UVMS) mathematical modeling and force optimization

Jagadeesh Kadiyam, Santhakumar Mohan
Ocean Engineering
Underwater Vehicles and Communication Systems
article

Underwater vehicle manipulator system (UVMS) mathematical modeling and force optimization

Jagadeesh Kadiyam, Santhakumar Mohan
article en

Abstract

This study presents a unified dynamic modeling, control, and optimization framework for underwater vehicle-manipulator systems (UVMSs) that explicitly captures vehicle-manipulator coupling and realistic hydrodynamic effects. A recursive Newton–Euler formulation combined with Denavit–Hartenberg (DH) kinematics is developed to model the coordinated motion of a fully actuated underwater vehicle equipped with a manipulator, using CFD-derived hydrodynamic coefficients to improve model fidelity. Strongly coupled inverse kinematics are solved using an adaptive task-priority damped-least-squares Newton–Raphson algorithm for singularity-robust redundancy resolution through null-space projection. Trajectory tracking is evaluated using nonlinear backstepping and finite-time sliding mode control (FTSMC), with FTSMC providing superior robustness and disturbance rejection under hydrodynamic disturbances and ocean currents. At the propulsion level, constrained thrust allocation is formulated as a quadratic programming problem and solved using the alternating direction method of multipliers (ADMM), with performance benchmarked against interior-point and active-set methods, demonstrating comparable computational performance and scalability for embedded implementation. The proposed framework reduces RMS end-effector tracking error by 8.3% and maximum tracking error by 6.4% relative to nonlinear backstepping while maintaining comparable control effort, demonstrating its suitability for realistic UVMS operations.

Ocean EngineeringVol. 369
Indian Institute of Technology Kharagpur (IN), Indian Institute of Technology Palakkad (IN), Centre for Artificial Intelligence and Robotics (IN), Indian Institute of Technology Mandi (IN)
Openalex Percentile: Top 18%
Underwater Vehicles and Communication Systems
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